A Reliability Generalization Meta-Analysis of the Science Motivation Questionnaire II
Bibliographic Data
| ID | 22426735 |
|---|---|
| Authors | Dilek Karaca (0000-0001-8004-4211), Bahadir Namdar (0000-0002-5076-6034), Fulden Güler Nalbantoğlu (0000-0002-1233-6666), Begümay Tümer (0000-0003-4708-2034), Burak Aydın (0000-0003-4462-1784) |
| Year | 2026 |
| Volume | 24 |
| Issue | 2 |
| Publication date | 2026-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Science and Mathematics Education (JOURNAL) |
| Journal identifiers | ISSN: 1571-0068 • E-ISSN: 1573-1774 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10763-025-10637-9 |
| Language | EN |
| References cited | 79 |
Science motivation is among the most important constructs affecting students’ science learning and scientific thinking skills. One commonly utilized scale to measure students’ science motivation is the Science Motivation Questionnaire II (SMQ-II), a 25-item, Likert-type, self-report scale. This study aimed to conduct a reliability generalization meta-analysis of the scale considering the Reliability Generalization Meta Analysis (REGEMA) guideline. Studies included in the analysis implemented the instrument between 2011–2024 and reported a Cronbach alpha value. Reliability evidence from 49 studies reporting a coefficient for the total score or at least for one of the five subscale scores was analyzed using a random effects model and Bonett’s transformation. The pooled Cronbach alpha reliability coefficient was 0.94 for the total score and ranged from 0.83–0.88 for the subscale scores. Moderator analyses showed generally similar reliability estimates across studies, with different study types, languages, sample types, or sample sizes for the subscales. However, the test version, sample type, sample size, and female representation in the sample showed differences in reliability estimates for the total score. The empirical evidence from the SMQ-II’s first 13 years reports high internal consistency across the scale’s scores.
Introduction to Meta‐Analysis
Assessing heterogeneity in meta-analysis
Fixed- and random-effects models in meta-analysis.
Scale construction.
Science motivation questionnaire II
The Combination of Estimates from Different Experiments
Sample Size Requirements for Testing and Estimating Coefficient Alpha
Bias in meta-analysis detected by a simple, graphical test
Conducting Meta-Analyses in R with the metafor Package
The Long and Short-Form Warwick-Edinburgh Mental Well-Being Scale
A reliability generalization study of the STEM-CIS scale
Reliability generalization meta-analysis
Domain specificity of motivation
Exploring students’ science motivation across grade levels and the role of inductive reasoning in science motivation
Cross-cultural adaptation of the Science Motivation Questionnaire II (SMQ-II) for Portuguesespeaking Brazilian secondary school students
Psychometric properties of Science Motivation Questionnaire II‐Chinese version in two waves of longitudinal data
Sample Compositions and Variabilities in Published Studies versus Those in Test Manuals
Using Mixed-Effects Models In Reliability Generalization Studies
Assessing the Reliability of Beck Depression Inventory Scores
The File Drawer Problem in Reliability Generalization
Reliability Generalization of Scores on the Spielberger State-Trait Anxiety Inventory
Reliability Generalization
The Use of Dynamic Computer Visualizations Integrated with the POE Sequence
Score Reliability
Characterizing Measurement Error in Scores Across Studies
Statistical methods in psychology journals
| Citation velocity | historical |
|---|---|
| Highly cited | No |